Kimi K2.5/K2.6/K2.7-Code 1T — GB300 NVL72 vs Jalapeño Performance per Dollar
Cost per million tokens of GB300 NVL72 (NVIDIA Blackwell) versus Jalapeño (OpenAI Jalapeño) on Kimi K2.5/K2.6/K2.7-Code 1T. Large-hyperscaler-volume ownership TCO normalized by total tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
Push Kimi K2.5/K2.6/K2.7-Code 1T to 91 tok/s/user and GB300 NVL72 lands at $0.31 per million tokens against Jalapeño's $0.03 — Jalapeño pulls ahead by 910%.
GB300 NVL72: $0.53 per million tokens. Jalapeño: $0.04. Both at 121 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T, with Jalapeño 1374% cheaper.
Toward the upper edge of the 61–182 tok/s/user interactivity band — at 152 tok/s/user — GB300 NVL72 runs $1.14 per million tokens on Kimi K2.5/K2.6/K2.7-Code 1T while Jalapeño runs $0.05. Jalapeño is the cheaper choice by 2389%. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
Chip pricing (owning hyperscaler): GB300 NVL72 $2.31/chip/hr · Jalapeño $1.27/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | GB300 NVL72:$0.312Jalapeño:$0.031 | GB300 NVL72:$0.533Jalapeño:$0.036 | GB300 NVL72:$1.139Jalapeño:$0.046 |
| Concurrency | GB300 NVL72:~92Jalapeño:~1062 | GB300 NVL72:~40Jalapeño:~584 | GB300 NVL72:~23Jalapeño:~311 |